ArticleKidney international reports2022
The Heritability of Kidney Function Using an Older Australian Twin Population.
Article in Kidney international reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed, 11 citations in OpenAlex.
- Association of polygenic scores with chronic kidney disease phenotypes in a longitudinal study of older adults.Kidney international · 2023Trial
- Role and relevance of genetic testing in patients with kidney stones: a review from EAU Section of Endourology.Current opinion in urology · 2026Review
- Polygenic Risk Scores Predicting Estimated GFR Validated With Iohexol Clearance.Kidney international reports · 2026Article
- Effect of healthy lifestyle on renal dysfunction risk: interactions with genetic risk.Clinical kidney journal · 2025Article
- Using Large Genomic Biobanks to Generate Insights into Genetic Kidney Disease.Seminars in nephrology · 2025Review
- Single-Ancestry versus Multi-Ancestry Polygenic Risk Scores for CKD in Black American Populations.Journal of the American Society of Nephrology : JASN · 2024Article
- A methylation risk score for chronic kidney disease: a HyperGEN study.Scientific reports · 2024Article
- A 20-year follow-up study of identical twin sisters with immunoglobulin A nephropathy.Clinical kidney journal · 2024Article
- Exploring the impact and utility of genomic sequencing in established CKD.Clinical kidney journal · 2024Review
- Monogenic and polygenic concepts in chronic kidney disease (CKD).Journal of nephrology · 2024Review
Corrections and comments
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Authors and funding
4 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Twin studies are unique population models which estimate observed rather than inferred genetic components of complex traits. Nonmonogenic chronic kidney disease (CKD) is a complex disease process with strong genetic and environmental influences, amenable to twin studies. We aimed to assess the heritability of CKD using twin analysis and modeling within Older Australian Twin Study (OATS) data. Methods: OATS had 109 dizygotic (DZ) and 126 monozygotic (MZ) twin pairs with paired serum creatinine levels. Heritability of kidney function as estimated glomerular filtration rate (eGFR CKD Epidemiology Collaboration [CKD-EPI]) was modeled using the ACE model to estimate additive heritability (A), common (C), and unique (E) environmental factors. Intratwin pair analysis using mixed effects logistic regression allowed analysis of variation in eGFR from established CKD risk factors. Results: The median age was 69.71 (interquartile range 78.4-83.0) years, with 65% female, and a mean CKD-EPI of 82.8 ml/min (SD 6.7). The unadjusted ACE model determined kidney function to be 33% genetically determined (A), 18% shared genetic-environmental (C), and 49% because of unique environment (E). This remained unchanged when adjusted for age, hypertension, and sex. Hypertension was associated with eGFR; however, intertwin variance in hypertension did not explain variance in eGFR. Two or more hypertension medications were associated with decreased eGFR ( Conclusion: This study estimates observed heritability at 33%, notably higher than inferred heritability in genome-wide association study (GWAS) (7.1%-18%). Epigenetics and other genomic phenomena may explain this heritability gap. Difference in antihypertension medications explains part of unique environmental exposures, though discordance in hypertension and diabetes does not.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.